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Releases: Anionex/agent-vision-toolkit

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v0.2.0

v0.2.0 Latest
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@Anionex Anionex released this 14 Aug 15:04
v0.2.0
14cb227

Added

  • Let the shared Python vision client call either OpenAI Chat Completions or Responses APIs, including optional reasoning effort and explicit store: false data handling.
  • Add native Anthropic Messages requests with protocol-specific authentication, image sources, optional thinking control, and text-block response extraction.
  • Rewrite OpenAI Chat Completions image_url blocks through the existing vision-description pipeline with a host-neutral channel note.
  • Add a fast UI restoration workflow for quick first drafts while preserving page hierarchy, visible text, and native controls.
  • Add the project landing-page source and link the DeepSeek Harness vision bundle for users who want that integration.

Changed

  • Make upstream egress explicit and resilient: connect directly by default, optionally use a configured HTTP CONNECT proxy, and fail over only when connection establishment fails instead of following ambient system proxy settings.
  • Make protocol-specific environment configuration authoritative while keeping existing host authentication and model compatibility behavior intact.

Fixed

  • Send a browser-compatible, configurable User-Agent so Cloudflare-backed OpenAI-compatible endpoints do not reject Python's default signature.
  • Honor Retry-After and retry Anthropic 529 overload responses.
  • Run the glance launcher through its interpreter on Windows and preserve trace SVG byte output across Windows line-ending behavior.

Full Changelog: v0.1.0...v0.2.0

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v0.1.0

v0.1.0

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@Anionex Anionex released this 06 Aug 22:21
v0.1.0
ee603c9

Added

  • Five vision CLIs — glance, ground, detect, trace, and crop — plus the vision-tools agent skill.
  • Optional seamless integration: a local proxy for Codex and Claude Code, and single-file native extensions for Pi, Oh My Pi, and OpenCode.
  • Pasted-image and tool-fetched image support with task-aware focus hints, parallel multi-image descriptions, per-request caching, and honest failure notes.
  • Vision playbooks for long-screenshot OCR, UI restoration, graphic restoration, structure recovery, and GUI operation.
  • Community contribution, conduct, support, and security policies.
  • Structured issue forms and a pull request template.
  • GitHub funding configuration and continuous integration checks.
  • A bilingual funding policy and sponsorship-use statement.
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